Full graph autoencoder for one-class group anomaly detection of IIoT system
Y Feng, J Chen, Z Liu, H Lv… - IEEE Internet of Things …, 2022 - ieeexplore.ieee.org
With the increasing automation and integration of equipment, it is urgent to carry out
anomaly detection (AD) for the large-scale system to ensure security, in virtue of Industrial …
anomaly detection (AD) for the large-scale system to ensure security, in virtue of Industrial …
Learning graph structures with transformer for multivariate time-series anomaly detection in IoT
Many real-world Internet of Things (IoT) systems, which include a variety of Internet-
connected sensory devices, produce substantial amounts of multivariate time-series data …
connected sensory devices, produce substantial amounts of multivariate time-series data …
Graph neural networks for anomaly detection in industrial Internet of Things
The Industrial Internet of Things (IIoT) plays an important role in digital transformation of
traditional industries toward Industry 4.0. By connecting sensors, instruments, and other …
traditional industries toward Industry 4.0. By connecting sensors, instruments, and other …
A graph neural network method for distributed anomaly detection in IoT
Recent IoT proliferation has undeniably affected the way organizational activities and
business procedures take place within several IoT domains such as smart manufacturing …
business procedures take place within several IoT domains such as smart manufacturing …
An anomaly detection model based on deep auto-encoder and capsule graph convolution via sparrow search algorithm in 6G internet-of-everything
In recent years, driven by the continuous development of mobile Internet technology and
artificial intelligence technology, the improvement of the manufacturing level of 6G Internet …
artificial intelligence technology, the improvement of the manufacturing level of 6G Internet …
Deep anomaly detection for time-series data in industrial IoT: A communication-efficient on-device federated learning approach
Since edge device failures (ie, anomalies) seriously affect the production of industrial
products in Industrial IoT (IIoT), accurately and timely detecting anomalies are becoming …
products in Industrial IoT (IIoT), accurately and timely detecting anomalies are becoming …
Generative adversarial network and auto encoder based anomaly detection in distributed IoT networks
T Zixu, KSK Liyanage… - GLOBECOM 2020-2020 …, 2020 - ieeexplore.ieee.org
With the advances in modern communication technologies, the application scale of Internet
of Things (IoT) has evolved at an unprecedented level, which on the other hand poses …
of Things (IoT) has evolved at an unprecedented level, which on the other hand poses …
Physics-informed gated recurrent graph attention unit network for anomaly detection in industrial cyber-physical systems
W Wu, C Song, J Zhao, Z Xu - Information Sciences, 2023 - Elsevier
Industrial cyber-physical systems (ICPSs) play an important role in many critical
infrastructures. To ensure the secure and reliable operation of ICPSs, this work presents a …
infrastructures. To ensure the secure and reliable operation of ICPSs, this work presents a …
Reconstructed graph neural network with knowledge distillation for lightweight anomaly detection
The proliferation of Internet-of-Things (IoT) technologies in modern smart society enables
massive data exchange for offering intelligent services. It becomes essential to ensure …
massive data exchange for offering intelligent services. It becomes essential to ensure …
Detecting dos attack in smart home iot devices using a graph-based approach
The use of the Internet of Things (IoT) devices has surged in recent years. However, due to
the lack of substantial security, IoT devices are vulnerable to cyber-attacks like Denial-of …
the lack of substantial security, IoT devices are vulnerable to cyber-attacks like Denial-of …